REDO achieves state-of-the-art results on various benchmarks (§ ).
We first conduct experiments on two synthetic RGBD video datasets: SAIL-VOS 3D [1]} and DeformingThings4D++ [2]}.
REDO improves over prior 4D reconstruction work [3]}, [4]} by a great margin (+5.9 mIoU, -0.085 mCham., -0.22 mACD on SAIL-VOS 3D and +2.2 mIoU, -0.063 mCham., -0.047 mACD on DeformingThings4D++ over OFlow [3]}). We then test on the real-world calibrated video dataset 3DPW [6]}. We find that REDO generalizes well and consistently outperforms prior 4D reconstruction methods (+10.1 mIoU, -0.124 mCham., -0.061 mACD over OFlow). We provide a comprehensive analysis to validate the effectiveness of each of the introduced components.
